Big data architecture
As enterprise organizations begin to collect massive amounts of data and to begin to find ways to capitalize on that data, enterprise application developers are increasingly being asked to build big data architecture. Developing effective big data strategies that can go beyond processing big data in big batches and bring the enterprise into real-time big data analytics is a heavy challenge. Big data frameworks such as Hadoop can be very helpful, but at this point, enterprise architects need a thorough understanding of basics of big data.
Modularity thrives when microservices and SOA comes together
24 Mar 2016
Feature - Many organizations think they need to make a choice between service oriented architectures and microservices. The fact is, the most modular solutions happen when microservices and SOA comes together.
Choosing the right big data analysis tools
23 Mar 2016
Feature - In order to choose the right big data analysis tools, it’s important to understand the transactional and analytical data processing requirements of your systems and choose accordingly.
How to integrate Spring Cache with an In-Memory Data Grid (IMDG)
21 Jan 2016
Tutorial - Interested in combining the efficiencies of Spring Cache with the power of an In-Memory Data Grid (IMDG). This simple tutorial demonstrates just how easy the process is.
Simplified messaging and microservice development with PHP's PSR-7
03 Jan 2016
Feature - Here we take a look at PHP's PSR-7, and how this new specification will help simplify microservice development while enhancing application messaging at the same time.
Perfecting product migrations without customer disruption with Agile
01 Jan 2016
Feature - Learn how MobiTV created a software development process for powering the future of connected TV.
How to build an application integration framework for flexibility
02 Dec 2015
Feature - Learn how MOBI Wireless created a back end infrastructure that makes it easy to implement different business workflows across service providers.
How collapsing the database stack improves developer productivity
10 Nov 2015
Feature - Developers are reducing development time by collapsing the database stack and focusing on customer satisfaction and not on operations overhead. Here is how they are doing it.
The challenge of managing distributed data can only be solved with NoSQL solutions
18 May 2015
Feature - Managing data over large geographic areas where latency and reliability problems exist is a major challenge for relational databases, but fortunately, NoSQL databases are solving the problem of managing distributed data.
A new approach to condensing data leads to a 99% compression rate
07 May 2015
Feature - Given the enormous thirst for data, coupled with the finite existence of copper and fiber optic cables that link clients and servers together, the need for powerful compression algorithms is self-evident. Has XLABS solved the problem with a 99% rate?...
Will ObjectLayout's StructuredArrays finally solve the Java performance problem?
18 Mar 2015
Feature - Java performance has greatly improved over the years, but getting true, linear scalability has always been a problem, largely due to the way data collections are handled in memory. However, new approaches to memory management are being developed, and...